SCOPE vs STOP
- Outcomes: Prolactin, hPL, GH2, Insulin, HOME-IR, glucose (all outcomes log-transformed)
- Independent variables: Study, f39_gdm_new, BMI, Ethnicity (Caucasian/non-Caucasian), smoking (yes/no), GA at sampling
- Model fitted: LME or GEE model
log(hormones) ~ Study + GA at sampling + Study:GA at sampling
Random intercepts for Study ID and Plate
#outc_ls <- c("Prolactin","HPL","GH2")
outc_ls <- c(hormone_var,insulin_var)
outc2 <- preg_out
# fit LME
fit_ls <- lapply(outc_ls,function(outc){
if(outc%in%hormone_var){ #LME for hormones
fit_eq <- as.formula(paste0("log(",outc,")~ Study + ",outc2," + BMI + Ethnicity_cauc + f10c_any_cig_1st_vst + GA_samp + Study*",outc2," + (1|Study.ID) + (1|Assay.",outc,")"))
fit <- eval(bquote(lmer(.(fit_eq),data=dat_run)))}
if(outc%in%insulin_var){ #GEE for insulin
fit_eq <- as.formula(paste0("log(",outc,")~ Study + ",outc2,"+BMI+Ethnicity_cauc+f10c_any_cig_1st_vst+GA_samp+Study*",outc2))
dat_tmp <- na.omit(dat_run[with(dat_run,order(Study,Study.ID)),c("Study","Study.ID","GA_samp","BMI","Ethnicity_cauc","f10c_any_cig_1st_vst",outc,outc2)])
fit <- eval(bquote(geeglm(.(fit_eq),data=dat_tmp,id=Study.ID,corstr="independence")))}
return(fit)})
names(fit_ls) <- outc_ls
# Type III SS
anova_ls <- lapply(fit_ls,function(fit){
if(!any(class(fit)%in%"gee")){return(Anova(fit,type="III"))}
if(any(class(fit)%in%"gee")){return(joint_tests(fit,cov.reduce=symmint(0)))}})
Global tests
Type III ANOVA on main and interaction effects, and LM model summaries.
Prolactin
|
|
Chisq
|
Df
|
Pr(>Chisq)
|
|
|
(Intercept)
|
250.7924480
|
1
|
<0.0001
|
***
|
|
Study
|
3.2136720
|
1
|
0.07
|
ns
|
|
f39_gdm_new
|
0.5754347
|
1
|
0.4
|
ns
|
|
BMI
|
3.3368238
|
1
|
0.07
|
ns
|
|
Ethnicity_cauc
|
105.4219556
|
1
|
<0.0001
|
***
|
|
f10c_any_cig_1st_vst
|
49.1590682
|
1
|
<0.0001
|
***
|
|
GA_samp
|
164.6323095
|
1
|
<0.0001
|
***
|
|
Study:f39_gdm_new
|
1.8652579
|
1
|
0.2
|
ns
|
HPL
|
|
Chisq
|
Df
|
Pr(>Chisq)
|
|
|
(Intercept)
|
150.8759535
|
1
|
<0.0001
|
***
|
|
Study
|
7.3986291
|
1
|
0.007
|
**
|
|
f39_gdm_new
|
0.4357432
|
1
|
0.5
|
ns
|
|
BMI
|
236.2094019
|
1
|
<0.0001
|
***
|
|
Ethnicity_cauc
|
5.5165373
|
1
|
0.02
|
*
|
|
f10c_any_cig_1st_vst
|
0.9176455
|
1
|
0.3
|
ns
|
|
GA_samp
|
2601.9722143
|
1
|
<0.0001
|
***
|
|
Study:f39_gdm_new
|
1.4845286
|
1
|
0.2
|
ns
|
GH2
|
|
Chisq
|
Df
|
Pr(>Chisq)
|
|
|
(Intercept)
|
251.096669
|
1
|
<0.0001
|
***
|
|
Study
|
1.107622
|
1
|
0.3
|
ns
|
|
f39_gdm_new
|
1.386104
|
1
|
0.2
|
ns
|
|
BMI
|
87.622496
|
1
|
<0.0001
|
***
|
|
Ethnicity_cauc
|
3.246832
|
1
|
0.07
|
ns
|
|
f10c_any_cig_1st_vst
|
1.039153
|
1
|
0.3
|
ns
|
|
GA_samp
|
1032.266869
|
1
|
<0.0001
|
***
|
|
Study:f39_gdm_new
|
3.376951
|
1
|
0.07
|
ns
|
Insulin
|
|
model term
|
df1
|
df2
|
F.ratio
|
Chisq
|
p.value
|
|
|
1
|
Study
|
1
|
Inf
|
21.326
|
21.326
|
<0.0001
|
***
|
|
3
|
f39_gdm_new
|
1
|
Inf
|
33.726
|
33.726
|
<0.0001
|
***
|
|
4
|
BMI
|
1
|
Inf
|
330.722
|
330.722
|
<0.0001
|
***
|
|
5
|
Ethnicity_cauc
|
1
|
Inf
|
25.046
|
25.046
|
<0.0001
|
***
|
|
6
|
f10c_any_cig_1st_vst
|
1
|
Inf
|
3.158
|
3.158
|
0.08
|
ns
|
|
7
|
GA_samp
|
1
|
Inf
|
2.506
|
2.506
|
0.1
|
ns
|
|
2
|
Study:f39_gdm_new
|
1
|
Inf
|
4.089
|
4.089
|
0.04
|
*
|
HOMA.IR
|
|
model term
|
df1
|
df2
|
F.ratio
|
Chisq
|
p.value
|
|
|
1
|
Study
|
1
|
Inf
|
36.051
|
36.051
|
<0.0001
|
***
|
|
3
|
f39_gdm_new
|
1
|
Inf
|
32.027
|
32.027
|
<0.0001
|
***
|
|
4
|
BMI
|
1
|
Inf
|
316.807
|
316.807
|
<0.0001
|
***
|
|
5
|
Ethnicity_cauc
|
1
|
Inf
|
24.882
|
24.882
|
<0.0001
|
***
|
|
6
|
f10c_any_cig_1st_vst
|
1
|
Inf
|
2.618
|
2.618
|
0.1
|
ns
|
|
7
|
GA_samp
|
1
|
Inf
|
1.602
|
1.602
|
0.2
|
ns
|
|
2
|
Study:f39_gdm_new
|
1
|
Inf
|
4.361
|
4.361
|
0.04
|
*
|
GLUC3_mmol.L
|
|
model term
|
df1
|
df2
|
F.ratio
|
Chisq
|
p.value
|
|
|
1
|
Study
|
1
|
Inf
|
53.182
|
53.182
|
<0.0001
|
***
|
|
3
|
f39_gdm_new
|
1
|
Inf
|
4.345
|
4.345
|
0.04
|
*
|
|
4
|
BMI
|
1
|
Inf
|
11.449
|
11.449
|
0.0007
|
***
|
|
5
|
Ethnicity_cauc
|
1
|
Inf
|
0.718
|
0.718
|
0.4
|
ns
|
|
6
|
f10c_any_cig_1st_vst
|
1
|
Inf
|
0.028
|
0.028
|
0.9
|
ns
|
|
7
|
GA_samp
|
1
|
Inf
|
0.278
|
0.278
|
0.6
|
ns
|
|
2
|
Study:f39_gdm_new
|
1
|
Inf
|
1.558
|
1.558
|
0.2
|
ns
|
Model Summary
Model summaries.
## Computing profile confidence intervals ...
## Computing profile confidence intervals ...
## Computing profile confidence intervals ...
Prolactin
|
Var
|
Effect
|
P
|
|
(Intercept)
|
19.27 (13.37, 27.77)
|
<0.0001
|
|
StudySTOP
|
0.91 (0.82, 1.01)
|
0.07
|
|
f39_gdm_newGDM
|
0.93 (0.76, 1.13)
|
0.45
|
|
BMI
|
1.00 (0.99, 1.00)
|
0.07
|
|
Ethnicity_caucNo
|
1.54 (1.42, 1.68)
|
<0.0001
|
|
f10c_any_cig_1st_vstYes
|
0.79 (0.73, 0.84)
|
<0.0001
|
|
GA_samp
|
1.14 (1.12, 1.17)
|
<0.0001
|
|
StudySTOP:f39_gdm_newGDM
|
1.16 (0.94, 1.44)
|
0.17
|
HPL
|
Var
|
Effect
|
P
|
|
(Intercept)
|
3.24 (2.69, 3.91)
|
<0.0001
|
|
StudySTOP
|
1.08 (1.02, 1.14)
|
0.007
|
|
f39_gdm_newGDM
|
0.97 (0.88, 1.06)
|
0.51
|
|
BMI
|
0.98 (0.98, 0.98)
|
<0.0001
|
|
Ethnicity_caucNo
|
1.05 (1.01, 1.10)
|
0.02
|
|
f10c_any_cig_1st_vstYes
|
1.02 (0.98, 1.06)
|
0.34
|
|
GA_samp
|
1.33 (1.32, 1.35)
|
<0.0001
|
|
StudySTOP:f39_gdm_newGDM
|
1.07 (0.96, 1.19)
|
0.22
|
GH2
|
Var
|
Effect
|
P
|
|
(Intercept)
|
0.12 (0.09, 0.16)
|
<0.0001
|
|
StudySTOP
|
0.96 (0.89, 1.04)
|
0.29
|
|
f39_gdm_newGDM
|
0.92 (0.79, 1.06)
|
0.24
|
|
BMI
|
0.99 (0.98, 0.99)
|
<0.0001
|
|
Ethnicity_caucNo
|
1.06 (0.99, 1.13)
|
0.07
|
|
f10c_any_cig_1st_vstYes
|
1.03 (0.98, 1.08)
|
0.31
|
|
GA_samp
|
1.29 (1.27, 1.31)
|
<0.0001
|
|
StudySTOP:f39_gdm_newGDM
|
1.16 (0.99, 1.36)
|
0.07
|
Insulin
|
Var
|
Effect
|
P
|
|
(Intercept)
|
2.65 (1.67, 4.18)
|
<0.0001
|
|
StudySTOP
|
0.76 (0.66, 0.88)
|
0.0002
|
|
f39_gdm_newGDM
|
1.71 (1.36, 2.16)
|
<0.0001
|
|
BMI
|
1.05 (1.05, 1.06)
|
<0.0001
|
|
Ethnicity_caucNo
|
1.37 (1.21, 1.56)
|
<0.0001
|
|
f10c_any_cig_1st_vstYes
|
0.92 (0.83, 1.01)
|
0.08
|
|
GA_samp
|
1.02 (0.99, 1.05)
|
0.11
|
|
StudySTOP:f39_gdm_newGDM
|
0.76 (0.58, 0.99)
|
0.04
|
HOMA.IR
|
Var
|
Effect
|
P
|
|
(Intercept)
|
0.63 (0.39, 1.02)
|
0.06
|
|
StudySTOP
|
0.65 (0.56, 0.76)
|
<0.0001
|
|
f39_gdm_newGDM
|
1.84 (1.40, 2.42)
|
<0.0001
|
|
BMI
|
1.05 (1.05, 1.06)
|
<0.0001
|
|
Ethnicity_caucNo
|
1.40 (1.22, 1.59)
|
<0.0001
|
|
f10c_any_cig_1st_vstYes
|
0.92 (0.83, 1.02)
|
0.11
|
|
GA_samp
|
1.02 (0.99, 1.05)
|
0.21
|
|
StudySTOP:f39_gdm_newGDM
|
0.72 (0.53, 0.98)
|
0.04
|
GLUC3_mmol.L
|
Var
|
Effect
|
P
|
|
(Intercept)
|
5.23 (4.75, 5.75)
|
<0.0001
|
|
StudySTOP
|
0.87 (0.84, 0.89)
|
<0.0001
|
|
f39_gdm_newGDM
|
1.10 (0.99, 1.22)
|
0.09
|
|
BMI
|
1.00 (1.00, 1.00)
|
0.0007
|
|
Ethnicity_caucNo
|
1.01 (0.99, 1.03)
|
0.40
|
|
f10c_any_cig_1st_vstYes
|
1.00 (0.98, 1.02)
|
0.87
|
|
GA_samp
|
1.00 (0.99, 1.00)
|
0.60
|
|
StudySTOP:f39_gdm_newGDM
|
0.93 (0.84, 1.04)
|
0.21
|
Diagnostics
Model diagnositcs.
Diagnositcs for PRL (ng/ml)
Diagnositcs for hPL (μg/ml)
Diagnositcs for GH2 (ng/ml)
Diagnositcs for Insulin (uU/L)
Diagnositcs for HOMA-IR
Diagnositcs for Glucose (mmol/L)
Results
Estimated means
Estimated marginal means (or adjusted means) adjusted for GA at sampling, BMI, ethnicity and smoking.
em_eq <- as.formula(paste0("pairwise~Study*",outc2))
#fit_em <- lapply(fit_ls,function(x){emmeans(x,em_eq,type="response")})
fit_em <- foreach(ind2=1:length(fit_ls)) %dofuture% {
emmeans(fit_ls[[ind2]],em_eq,type="response",lmer.df="satterthwaite")}
names(fit_em) <- names(fit_ls)
fit_em_contrasts <- lapply(fit_em,function(x){
contrast_dat <- data.frame(x$emmeans)
contrast_dat$Group <- with(contrast_dat,paste(Study,get(outc2),sep="."))
contrast_mat <- diag(nrow(contrast_dat))
rownames(contrast_mat) <- colnames(contrast_mat) <- contrast_dat$Group
contrast_ls <- list(
"STOP/SCOPE (non-cases)"=contrast_mat[paste0("STOP.",preg_out_label[1]),]-contrast_mat[paste0("SCOPE.",preg_out_label[1]),],
"STOP/SCOPE (Cases)"=contrast_mat[paste0("STOP.",preg_out_label[2]),]-contrast_mat[paste0("SCOPE.",preg_out_label[2]),],
"Cases/non-cases (SCOPE)"=contrast_mat[paste0("SCOPE.",preg_out_label[2]),]-contrast_mat[paste0("SCOPE.",preg_out_label[1]),],
"Cases/non-cases (STOP)"=contrast_mat[paste0("STOP.",preg_out_label[2]),]-contrast_mat[paste0("STOP.",preg_out_label[1]),])
names(contrast_ls) <- c("STOP/SCOPE (non-cases)",paste0("STOP/SCOPE (",outc2,")"),
paste0(outc2,"/non-cases (SCOPE)"),paste0(outc2,"/non-cases (STOP)"))
contrast_out <- contrast(x$emmeans,method=contrast_ls)
return(contrast_out)})
|
Study
|
f39_gdm_new
|
response
|
SE
|
df
|
lower.CL
|
upper.CL
|
|
SCOPE
|
non-GDM
|
111.0154
|
8.681308
|
96.52335
|
95.05499
|
129.6557
|
|
STOP
|
non-GDM
|
101.0402
|
7.521753
|
79.44826
|
87.12606
|
117.1765
|
|
SCOPE
|
GDM
|
102.8206
|
12.570919
|
488.73126
|
80.86360
|
130.7395
|
|
STOP
|
GDM
|
108.6664
|
9.407853
|
142.31669
|
91.57354
|
128.9498
|
HPL
|
Study
|
f39_gdm_new
|
response
|
SE
|
df
|
lower.CL
|
upper.CL
|
|
SCOPE
|
non-GDM
|
92.79956
|
2.631487
|
208.5170
|
87.75417
|
98.13503
|
|
STOP
|
non-GDM
|
100.16214
|
2.580611
|
143.9125
|
95.18905
|
105.39505
|
|
SCOPE
|
GDM
|
89.90620
|
4.703155
|
855.7065
|
81.13321
|
99.62781
|
|
STOP
|
GDM
|
103.60960
|
3.630797
|
403.1080
|
96.71224
|
110.99886
|
GH2
|
Study
|
f39_gdm_new
|
response
|
SE
|
df
|
lower.CL
|
upper.CL
|
|
SCOPE
|
non-GDM
|
2.447434
|
0.0797623
|
643.5290
|
2.295715
|
2.609181
|
|
STOP
|
non-GDM
|
2.348242
|
0.0646686
|
403.7659
|
2.224493
|
2.478876
|
|
SCOPE
|
GDM
|
2.244898
|
0.1698300
|
1454.2571
|
1.935300
|
2.604024
|
|
STOP
|
GDM
|
2.502546
|
0.1064317
|
815.6024
|
2.302116
|
2.720426
|
Insulin
|
Study
|
f39_gdm_new
|
response
|
SE
|
df
|
asymp.LCL
|
asymp.UCL
|
|
SCOPE
|
non-GDM
|
16.13732
|
0.9237574
|
Inf
|
14.42466
|
18.05332
|
|
STOP
|
non-GDM
|
12.27648
|
0.5729224
|
Inf
|
11.20340
|
13.45235
|
|
SCOPE
|
GDM
|
27.63445
|
3.3537549
|
Inf
|
21.78451
|
35.05531
|
|
STOP
|
GDM
|
15.99781
|
1.1514391
|
Inf
|
13.89299
|
18.42153
|
HOMA.IR
|
Study
|
f39_gdm_new
|
response
|
SE
|
df
|
asymp.LCL
|
asymp.UCL
|
|
SCOPE
|
non-GDM
|
3.941501
|
0.2407589
|
Inf
|
3.496775
|
4.442789
|
|
STOP
|
non-GDM
|
2.576228
|
0.1260619
|
Inf
|
2.340629
|
2.835541
|
|
SCOPE
|
GDM
|
7.264465
|
1.0212704
|
Inf
|
5.514904
|
9.569060
|
|
STOP
|
GDM
|
3.432514
|
0.2659047
|
Inf
|
2.948986
|
3.995322
|
GLUC3_mmol.L
|
Study
|
f39_gdm_new
|
response
|
SE
|
df
|
asymp.LCL
|
asymp.UCL
|
|
SCOPE
|
non-GDM
|
5.455388
|
0.0606409
|
Inf
|
5.337820
|
5.575546
|
|
STOP
|
non-GDM
|
4.732806
|
0.0383650
|
Inf
|
4.658206
|
4.808600
|
|
SCOPE
|
GDM
|
5.997698
|
0.3022740
|
Inf
|
5.433572
|
6.620392
|
|
STOP
|
GDM
|
4.855922
|
0.0646889
|
Inf
|
4.730775
|
4.984380
|
Comparisons
Prolactin
|
contrast
|
ratio
|
SE
|
df
|
lower.CL
|
upper.CL
|
p.value
|
|
|
STOP/SCOPE (non-cases)
|
0.910
|
0.048
|
2134.356
|
0.821
|
1.009
|
0.073
|
ns
|
|
STOP/SCOPE (f39_gdm_new)
|
1.057
|
0.121
|
1848.804
|
0.845
|
1.322
|
0.628
|
ns
|
|
f39_gdm_new/non-cases (SCOPE)
|
0.926
|
0.094
|
1760.115
|
0.760
|
1.129
|
0.448
|
ns
|
|
f39_gdm_new/non-cases (STOP)
|
1.075
|
0.057
|
2124.426
|
0.969
|
1.193
|
0.170
|
ns
|
HPL
|
contrast
|
ratio
|
SE
|
df
|
lower.CL
|
upper.CL
|
p.value
|
|
|
STOP/SCOPE (non-cases)
|
1.079
|
0.030
|
2146.493
|
1.022
|
1.140
|
0.007
|
**
|
|
STOP/SCOPE (f39_gdm_new)
|
1.152
|
0.065
|
1454.099
|
1.031
|
1.288
|
0.012
|
*
|
|
f39_gdm_new/non-cases (SCOPE)
|
0.969
|
0.046
|
1008.430
|
0.882
|
1.064
|
0.509
|
ns
|
|
f39_gdm_new/non-cases (STOP)
|
1.034
|
0.030
|
2143.118
|
0.978
|
1.094
|
0.238
|
ns
|
GH2
|
contrast
|
ratio
|
SE
|
df
|
lower.CL
|
upper.CL
|
p.value
|
|
|
STOP/SCOPE (non-cases)
|
0.959
|
0.038
|
2093.891
|
0.888
|
1.036
|
0.293
|
ns
|
|
STOP/SCOPE (f39_gdm_new)
|
1.115
|
0.095
|
1805.358
|
0.944
|
1.317
|
0.201
|
ns
|
|
f39_gdm_new/non-cases (SCOPE)
|
0.917
|
0.067
|
1602.268
|
0.794
|
1.059
|
0.239
|
ns
|
|
f39_gdm_new/non-cases (STOP)
|
1.066
|
0.042
|
2020.496
|
0.986
|
1.152
|
0.110
|
ns
|
Insulin
|
contrast
|
ratio
|
SE
|
df
|
asymp.LCL
|
asymp.UCL
|
p.value
|
|
|
STOP/SCOPE (non-cases)
|
0.761
|
0.055
|
Inf
|
0.660
|
0.877
|
0.0002
|
***
|
|
STOP/SCOPE (f39_gdm_new)
|
0.579
|
0.081
|
Inf
|
0.440
|
0.762
|
<0.0001
|
***
|
|
f39_gdm_new/non-cases (SCOPE)
|
1.712
|
0.202
|
Inf
|
1.358
|
2.159
|
<0.0001
|
***
|
|
f39_gdm_new/non-cases (STOP)
|
1.303
|
0.089
|
Inf
|
1.139
|
1.491
|
0.0001
|
***
|
HOMA.IR
|
contrast
|
ratio
|
SE
|
df
|
asymp.LCL
|
asymp.UCL
|
p.value
|
|
|
STOP/SCOPE (non-cases)
|
0.654
|
0.050
|
Inf
|
0.562
|
0.760
|
<0.0001
|
***
|
|
STOP/SCOPE (f39_gdm_new)
|
0.473
|
0.075
|
Inf
|
0.346
|
0.646
|
<0.0001
|
***
|
|
f39_gdm_new/non-cases (SCOPE)
|
1.843
|
0.255
|
Inf
|
1.405
|
2.418
|
<0.0001
|
***
|
|
f39_gdm_new/non-cases (STOP)
|
1.332
|
0.098
|
Inf
|
1.153
|
1.540
|
0.0001
|
***
|
GLUC3_mmol.L
|
contrast
|
ratio
|
SE
|
df
|
asymp.LCL
|
asymp.UCL
|
p.value
|
|
|
STOP/SCOPE (non-cases)
|
0.868
|
0.013
|
Inf
|
0.843
|
0.893
|
<0.0001
|
***
|
|
STOP/SCOPE (f39_gdm_new)
|
0.810
|
0.040
|
Inf
|
0.734
|
0.893
|
<0.0001
|
***
|
|
f39_gdm_new/non-cases (SCOPE)
|
1.099
|
0.061
|
Inf
|
0.987
|
1.225
|
0.086
|
ns
|
|
f39_gdm_new/non-cases (STOP)
|
1.026
|
0.013
|
Inf
|
1.001
|
1.052
|
0.043
|
*
|
Comparisons by Timepoint
Prolactin
|
contrast
|
ratio
|
SE
|
df
|
lower.CL
|
upper.CL
|
p.value
|
|
|
STOP/SCOPE (non-cases)|10wks
|
0.910
|
0.048
|
2134.356
|
0.821
|
1.009
|
0.073
|
ns
|
|
STOP/SCOPE (f39_gdm_new)|10wks
|
1.057
|
0.121
|
1848.804
|
0.845
|
1.322
|
0.628
|
ns
|
|
f39_gdm_new/non-cases (SCOPE)|10wks
|
0.926
|
0.094
|
1760.115
|
0.760
|
1.129
|
0.448
|
ns
|
|
f39_gdm_new/non-cases (STOP)|10wks
|
1.075
|
0.057
|
2124.426
|
0.969
|
1.193
|
0.170
|
ns
|
|
STOP/SCOPE (non-cases)|16wks
|
0.910
|
0.048
|
2134.356
|
0.821
|
1.009
|
0.073
|
ns
|
|
STOP/SCOPE (f39_gdm_new)|16wks
|
1.057
|
0.121
|
1848.804
|
0.845
|
1.322
|
0.628
|
ns
|
|
f39_gdm_new/non-cases (SCOPE)|16wks
|
0.926
|
0.094
|
1760.115
|
0.760
|
1.129
|
0.448
|
ns
|
|
f39_gdm_new/non-cases (STOP)|16wks
|
1.075
|
0.057
|
2124.426
|
0.969
|
1.193
|
0.170
|
ns
|
|
16wks/10wks (non-cases)|SCOPE
|
2.234
|
0.140
|
2126.990
|
1.976
|
2.526
|
<0.0001
|
***
|
|
16wks/10wks (f39_gdm_new)|SCOPE
|
2.234
|
0.140
|
2126.990
|
1.976
|
2.526
|
<0.0001
|
***
|
|
16wks/10wks (non-cases)|STOP
|
2.234
|
0.140
|
2126.990
|
1.976
|
2.526
|
<0.0001
|
***
|
|
16wks/10wks (f39_gdm_new)|STOP
|
2.234
|
0.140
|
2126.990
|
1.976
|
2.526
|
<0.0001
|
***
|
HPL
|
contrast
|
ratio
|
SE
|
df
|
lower.CL
|
upper.CL
|
p.value
|
|
|
STOP/SCOPE (non-cases)|10wks
|
1.079
|
0.030
|
2146.493
|
1.022
|
1.140
|
0.007
|
**
|
|
STOP/SCOPE (f39_gdm_new)|10wks
|
1.152
|
0.065
|
1454.099
|
1.031
|
1.288
|
0.012
|
*
|
|
f39_gdm_new/non-cases (SCOPE)|10wks
|
0.969
|
0.046
|
1008.430
|
0.882
|
1.064
|
0.509
|
ns
|
|
f39_gdm_new/non-cases (STOP)|10wks
|
1.034
|
0.030
|
2143.118
|
0.978
|
1.094
|
0.238
|
ns
|
|
STOP/SCOPE (non-cases)|16wks
|
1.079
|
0.030
|
2146.493
|
1.022
|
1.140
|
0.007
|
**
|
|
STOP/SCOPE (f39_gdm_new)|16wks
|
1.152
|
0.065
|
1454.099
|
1.031
|
1.288
|
0.012
|
*
|
|
f39_gdm_new/non-cases (SCOPE)|16wks
|
0.969
|
0.046
|
1008.430
|
0.882
|
1.064
|
0.509
|
ns
|
|
f39_gdm_new/non-cases (STOP)|16wks
|
1.034
|
0.030
|
2143.118
|
0.978
|
1.094
|
0.238
|
ns
|
|
16wks/10wks (non-cases)|SCOPE
|
5.598
|
0.189
|
2130.600
|
5.240
|
5.982
|
<0.0001
|
***
|
|
16wks/10wks (f39_gdm_new)|SCOPE
|
5.598
|
0.189
|
2130.600
|
5.240
|
5.982
|
<0.0001
|
***
|
|
16wks/10wks (non-cases)|STOP
|
5.598
|
0.189
|
2130.600
|
5.240
|
5.982
|
<0.0001
|
***
|
|
16wks/10wks (f39_gdm_new)|STOP
|
5.598
|
0.189
|
2130.600
|
5.240
|
5.982
|
<0.0001
|
***
|
GH2
|
contrast
|
ratio
|
SE
|
df
|
lower.CL
|
upper.CL
|
p.value
|
|
|
STOP/SCOPE (non-cases)|10wks
|
0.959
|
0.038
|
2093.891
|
0.888
|
1.036
|
0.293
|
ns
|
|
STOP/SCOPE (f39_gdm_new)|10wks
|
1.115
|
0.095
|
1805.358
|
0.944
|
1.317
|
0.201
|
ns
|
|
f39_gdm_new/non-cases (SCOPE)|10wks
|
0.917
|
0.067
|
1602.268
|
0.794
|
1.059
|
0.239
|
ns
|
|
f39_gdm_new/non-cases (STOP)|10wks
|
1.066
|
0.042
|
2020.496
|
0.986
|
1.152
|
0.110
|
ns
|
|
STOP/SCOPE (non-cases)|16wks
|
0.959
|
0.038
|
2093.891
|
0.888
|
1.036
|
0.293
|
ns
|
|
STOP/SCOPE (f39_gdm_new)|16wks
|
1.115
|
0.095
|
1805.358
|
0.944
|
1.317
|
0.201
|
ns
|
|
f39_gdm_new/non-cases (SCOPE)|16wks
|
0.917
|
0.067
|
1602.268
|
0.794
|
1.059
|
0.239
|
ns
|
|
f39_gdm_new/non-cases (STOP)|16wks
|
1.066
|
0.042
|
2020.496
|
0.986
|
1.152
|
0.110
|
ns
|
|
16wks/10wks (non-cases)|SCOPE
|
4.641
|
0.222
|
2163.793
|
4.226
|
5.097
|
<0.0001
|
***
|
|
16wks/10wks (f39_gdm_new)|SCOPE
|
4.641
|
0.222
|
2163.793
|
4.226
|
5.097
|
<0.0001
|
***
|
|
16wks/10wks (non-cases)|STOP
|
4.641
|
0.222
|
2163.793
|
4.226
|
5.097
|
<0.0001
|
***
|
|
16wks/10wks (f39_gdm_new)|STOP
|
4.641
|
0.222
|
2163.793
|
4.226
|
5.097
|
<0.0001
|
***
|
Insulin
|
contrast
|
ratio
|
SE
|
df
|
asymp.LCL
|
asymp.UCL
|
p.value
|
|
|
STOP/SCOPE (non-cases)|10wks
|
0.761
|
0.055
|
Inf
|
0.660
|
0.877
|
0.0002
|
***
|
|
STOP/SCOPE (f39_gdm_new)|10wks
|
0.579
|
0.081
|
Inf
|
0.440
|
0.762
|
<0.0001
|
***
|
|
f39_gdm_new/non-cases (SCOPE)|10wks
|
1.712
|
0.202
|
Inf
|
1.358
|
2.159
|
<0.0001
|
***
|
|
f39_gdm_new/non-cases (STOP)|10wks
|
1.303
|
0.089
|
Inf
|
1.139
|
1.491
|
0.0001
|
***
|
|
STOP/SCOPE (non-cases)|16wks
|
0.761
|
0.055
|
Inf
|
0.660
|
0.877
|
0.0002
|
***
|
|
STOP/SCOPE (f39_gdm_new)|16wks
|
0.579
|
0.081
|
Inf
|
0.440
|
0.762
|
<0.0001
|
***
|
|
f39_gdm_new/non-cases (SCOPE)|16wks
|
1.712
|
0.202
|
Inf
|
1.358
|
2.159
|
<0.0001
|
***
|
|
f39_gdm_new/non-cases (STOP)|16wks
|
1.303
|
0.089
|
Inf
|
1.139
|
1.491
|
0.0001
|
***
|
|
16wks/10wks (non-cases)|SCOPE
|
1.144
|
0.097
|
Inf
|
0.968
|
1.352
|
0.113
|
ns
|
|
16wks/10wks (f39_gdm_new)|SCOPE
|
1.144
|
0.097
|
Inf
|
0.968
|
1.352
|
0.113
|
ns
|
|
16wks/10wks (non-cases)|STOP
|
1.144
|
0.097
|
Inf
|
0.968
|
1.352
|
0.113
|
ns
|
|
16wks/10wks (f39_gdm_new)|STOP
|
1.144
|
0.097
|
Inf
|
0.968
|
1.352
|
0.113
|
ns
|
HOMA.IR
|
contrast
|
ratio
|
SE
|
df
|
asymp.LCL
|
asymp.UCL
|
p.value
|
|
|
STOP/SCOPE (non-cases)|10wks
|
0.654
|
0.050
|
Inf
|
0.562
|
0.760
|
<0.0001
|
***
|
|
STOP/SCOPE (f39_gdm_new)|10wks
|
0.473
|
0.075
|
Inf
|
0.346
|
0.646
|
<0.0001
|
***
|
|
f39_gdm_new/non-cases (SCOPE)|10wks
|
1.843
|
0.255
|
Inf
|
1.405
|
2.418
|
<0.0001
|
***
|
|
f39_gdm_new/non-cases (STOP)|10wks
|
1.332
|
0.098
|
Inf
|
1.153
|
1.540
|
0.0001
|
***
|
|
STOP/SCOPE (non-cases)|16wks
|
0.654
|
0.050
|
Inf
|
0.562
|
0.760
|
<0.0001
|
***
|
|
STOP/SCOPE (f39_gdm_new)|16wks
|
0.473
|
0.075
|
Inf
|
0.346
|
0.646
|
<0.0001
|
***
|
|
f39_gdm_new/non-cases (SCOPE)|16wks
|
1.843
|
0.255
|
Inf
|
1.405
|
2.418
|
<0.0001
|
***
|
|
f39_gdm_new/non-cases (STOP)|16wks
|
1.332
|
0.098
|
Inf
|
1.153
|
1.540
|
0.0001
|
***
|
|
16wks/10wks (non-cases)|SCOPE
|
1.121
|
0.101
|
Inf
|
0.939
|
1.337
|
0.206
|
ns
|
|
16wks/10wks (f39_gdm_new)|SCOPE
|
1.121
|
0.101
|
Inf
|
0.939
|
1.337
|
0.206
|
ns
|
|
16wks/10wks (non-cases)|STOP
|
1.121
|
0.101
|
Inf
|
0.939
|
1.337
|
0.206
|
ns
|
|
16wks/10wks (f39_gdm_new)|STOP
|
1.121
|
0.101
|
Inf
|
0.939
|
1.337
|
0.206
|
ns
|
GLUC3_mmol.L
|
contrast
|
ratio
|
SE
|
df
|
asymp.LCL
|
asymp.UCL
|
p.value
|
|
|
STOP/SCOPE (non-cases)|10wks
|
0.868
|
0.013
|
Inf
|
0.843
|
0.893
|
<0.0001
|
***
|
|
STOP/SCOPE (f39_gdm_new)|10wks
|
0.810
|
0.040
|
Inf
|
0.734
|
0.893
|
<0.0001
|
***
|
|
f39_gdm_new/non-cases (SCOPE)|10wks
|
1.099
|
0.061
|
Inf
|
0.987
|
1.225
|
0.086
|
ns
|
|
f39_gdm_new/non-cases (STOP)|10wks
|
1.026
|
0.013
|
Inf
|
1.001
|
1.052
|
0.043
|
*
|
|
STOP/SCOPE (non-cases)|16wks
|
0.868
|
0.013
|
Inf
|
0.843
|
0.893
|
<0.0001
|
***
|
|
STOP/SCOPE (f39_gdm_new)|16wks
|
0.810
|
0.040
|
Inf
|
0.734
|
0.893
|
<0.0001
|
***
|
|
f39_gdm_new/non-cases (SCOPE)|16wks
|
1.099
|
0.061
|
Inf
|
0.987
|
1.225
|
0.086
|
ns
|
|
f39_gdm_new/non-cases (STOP)|16wks
|
1.026
|
0.013
|
Inf
|
1.001
|
1.052
|
0.043
|
*
|
|
16wks/10wks (non-cases)|SCOPE
|
0.990
|
0.019
|
Inf
|
0.954
|
1.027
|
0.598
|
ns
|
|
16wks/10wks (f39_gdm_new)|SCOPE
|
0.990
|
0.019
|
Inf
|
0.954
|
1.027
|
0.598
|
ns
|
|
16wks/10wks (non-cases)|STOP
|
0.990
|
0.019
|
Inf
|
0.954
|
1.027
|
0.598
|
ns
|
|
16wks/10wks (f39_gdm_new)|STOP
|
0.990
|
0.019
|
Inf
|
0.954
|
1.027
|
0.598
|
ns
|
